Improving aircraft performance using machine learning: A review
2023 · Aerospace Science and Technology · 154 citations
https://doi.org/10.1016/j.ast.2023.108354
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Esteban Ferrer
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Esteban Ferrer is an academic researcher from Universidad Politécnica de Madrid. The author has contributed to research in topics: Fluid Dynamics and Turbulent Flows & Computational Fluid Dynamics and Aerodynamics & Advanced Numerical Methods in Computational Mathematics. The author has an h-index of 28, co-authored 159 publications.
ORCID: 0000-0003-1519-0444Papers by this author
worksA transition prediction method for flow over airfoils based on high-order dynamic mode decomposition
2019 · Chinese Journal of Aeronautics · 36 citations
https://doi.org/10.1016/j.cja.2019.03.020
Reinforcement learning to maximize wind turbine energy generation
2024 · Expert Systems with Applications · 30 citations
https://doi.org/10.1016/j.eswa.2024.123502
A reinforcement learning strategy for p-adaptation in high order solvers
2023 · Results in Engineering · 6 citations
https://doi.org/10.1016/j.rineng.2023.101693
Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers
2025 · Journal of Computational Physics · 2 citations
https://doi.org/10.1016/j.jcp.2025.114080
Accelerating high order discontinuous Galerkin solvers using neural networks: Wall bounded flows
2024 · Journal of Physics Conference Series · 1 citations
https://doi.org/10.1088/1742-6596/2753/1/012023
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